{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 设置网格线"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\pcApp\\Anaconda3\\lib\\site-packages\\matplotlib\\cbook\\deprecation.py:107: MatplotlibDeprecationWarning: Passing one of 'on', 'true', 'off', 'false' as a boolean is deprecated; use an actual boolean (True/False) instead.\n",
      "  warnings.warn(message, mplDeprecation, stacklevel=1)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(0.6, 9.4, 585.2, 6762.8)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x444.96 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x444.96 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# 解决中文乱码问题\n",
    "plt.rcParams[\"font.sans-serif\"] = \"SimHei\"\n",
    "\n",
    "x = np.array([1,2,3,4,5,6,7,8,9])\n",
    "y = np.array([866,2325,5710,6482,6120,1605,3813,4428,4631])\n",
    "\n",
    "# 在2x1个坐标系的第1个坐标系中绘图\n",
    "fig = plt.figure(figsize=(10,6.18))\n",
    "plt.subplot(211)\n",
    "plt.plot(x,y)\n",
    "plt.xlabel(\"月份\")\n",
    "plt.ylabel(\"注册人数\")\n",
    "# 开启网格线\n",
    "plt.grid(b=\"True\")\n",
    "# 轴刻度线设置成双向，且下轴刻度线不显示\n",
    "plt.tick_params(axis=\"both\", which=\"both\", direction=\"inout\",bottom=\"false\")\n",
    "\n",
    "# 在2x1个坐标系的第2个坐标系中绘图\n",
    "fig = plt.figure(figsize=(10,6.18))\n",
    "plt.subplot(212)\n",
    "plt.plot(x,y)\n",
    "plt.xlabel(\"月份\")\n",
    "plt.ylabel(\"注册人数\")\n",
    "# 轴刻度线设置成双向，且下轴刻度标签不显示\n",
    "plt.tick_params(axis=\"both\", which=\"both\", direction=\"inout\", labelbottom=\"false\")\n",
    "\n",
    "# 有时为了美观，会把一些不需要显示的轴关闭。\n",
    "plt.axis(\"off\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\pcApp\\Anaconda3\\lib\\site-packages\\matplotlib\\cbook\\deprecation.py:107: MatplotlibDeprecationWarning: Passing one of 'on', 'true', 'off', 'false' as a boolean is deprecated; use an actual boolean (True/False) instead.\n",
      "  warnings.warn(message, mplDeprecation, stacklevel=1)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 开启网格线\n",
    "plt.grid(b=\"True\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\pcApp\\Anaconda3\\lib\\site-packages\\matplotlib\\cbook\\deprecation.py:107: MatplotlibDeprecationWarning: Passing one of 'on', 'true', 'off', 'false' as a boolean is deprecated; use an actual boolean (True/False) instead.\n",
      "  warnings.warn(message, mplDeprecation, stacklevel=1)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 只打开指定轴的网格线\n",
    "plt.grid(b=\"True\", axis=\"x\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 将网格线的线型设置成虚线，线宽设置成1\n",
    "plt.grid(b='True', axis='x', linestyle='dashed',linewidth=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 设置图例"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\pcApp\\Anaconda3\\lib\\site-packages\\matplotlib\\cbook\\deprecation.py:107: MatplotlibDeprecationWarning: Passing one of 'on', 'true', 'off', 'false' as a boolean is deprecated; use an actual boolean (True/False) instead.\n",
      "  warnings.warn(message, mplDeprecation, stacklevel=1)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x8561cf8>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAlcAAAC2CAYAAAD0vKiKAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAAIABJREFUeJzt3XlYVdX+x/H3OgMCgigOqCiDORvigAONkDZY2mCDllpWN71Xb9Ptllp6s9nG323uWmaWDWrZPFiWlCmKoOKI4oAIiorIKMMZ1u8PyCxTDnAO+wDf1/P4CGtv9vksNwe+7r3W2kprjRBCCCGEcA+T0QGEEEIIIRoTKa6EEEIIIdxIiishhBBCCDeS4koIIYQQwo2kuBJCCCGEcCMproQQQggh3EiKKyGEEEIIN5LiSgghhBDCjSxGBwBo06aNjoiIMDqGqEZJSQnNmzc3OoZwAzmXjYecy8ZFzmfDkJKSkqu1bnu67V5RXEVERJCcnGx0DFGNhIQE4uLijI4h3EDOZeMh57JxkfPZMCil9p1pu9wWFEIIIYRwIymuhBBCCCHcSIorIYQQQgg38ooxV0IIIYTwLjabjaysLMrKyoyOYhhfX186deqE1Wqt0ddJcSVEE2G3VbAz5ScKNn2NPT+XtTmJ+IV0I7hzT9qHd8di9TE6ohDCi2RlZREYGEhERARKKaPj1DutNUePHiUrK4vIyMgafa0UV0J4qYjpX9f5GIEc5wLTJoaZ1xNv2khvVYxNm7FhwT/tG0ir3M+mzezVbdin25OhQ9inQ8jQ7dmnQ9iv22GrwY+KjDlX1Dm3EMJ4ZWVlTbawAlBK0bp1a44cOVLjr5XiSohGprM6xHDTeoaZ1jPElIZVOcjTAfzk7MePjgGsdPbljj5W3ttaTIQ6RIQph3B1qPJjlcNA004CVemJ4zm04oBuc6Lo2qvbnyjC9ut2lCNXvIRorJpqYfWb2vZfiishGjgTTgaonQwzb2CYaT3dTdkApDtDmee4nOWO/qzX3XGeNH9FmewcoRVHdCvWOXr+6Yia1hRWFVw5hJsqC69wlcMoUyJB6viJPZ1acZBg9jlDqoqv9mxYlktQaE/aR/TEPyCoPv4JhBCN2ODBg0lKSuLIkSOsWrWK/fv3s2XLFgD+97//ceDAAf75z3+ydOlSAG6++WamTp3K3r17GTt2LAAOh4PWrVsTExMDVN7yO7lw2rBhA9nZ2fj6+rolsxRXQjRAAX+63RdcdbsvydmTj2wXsdw5gEwdUsujK44SxFEdxHrdHZx/3BpEcWXRVXW1K9yUQ4Q6xCWmFNqoQkj88MS+hwkm1yeUYv/OOFpF4tO2G0Gh3QmJ6EVgUHDt/wGEEE3GbyvWr1u3jo8//ph77rmH66+/npCQyp9xr776Kvfeey979+4lMjISq9VKq1atWLFiBdnZ2YSGhmI2m+nbty/Lly9n//79TJw4keXLl594jeHDh9d40PqZSHElRAPRSR0+6XbfdnyUg2M6gBVVt/t+cfalCH+P5ygggFTdlVTdtbLB8fu2QI6zdGx7CrN3UHFkF5b8DAJKMumSv5o2+d/A3t/3PUoQR6yhFPl3xt4yEmvbs2jRsQchEb0JCj7tUyWEEE1EYmIiTz/9NNu2bWPkyJGMHz+erl27nrj6BLB9+3aKiopo1qwZEydOZNasWaSnpzNjxgxatmzJY489xhtvvAGAyWRCa82UKVMoLS0lLi6O3bt3s3PnTgDMZrPbsktxJYSXMuGkn9rFcHNlQdXDlAXALmdH3naM4EfHANbrbjhw3w+EuirCn279zod+55+yraQon5yMNAqy0yg/vBvzsT00L8kkrCCZkIJlcNLDJI4RyGFLR4r8O2MLqiy8Ajp2JyS8Ny1bh6BMskSfEPXq2+mQs9m9x2wfBSPmnHZzbGwsn332GcOHD2fRokUkJiby3nvv8euvv3L48GGCgoKwWCwUFRWxZMkSEhISeOutt2jfvj133XUX5557LqmpqWRmZhIWFgbAggULaN26Nb6+vrRr147Zs2fj5+fn3n4hxZUQXqW48Bg7V32GI+1b1jVbTWtVhE2bWefswWO28Sx3DmCfbm90zFppHtiSs6KGQtTQU7aVHS8mZ18ax/anUX44HXVsL82L9xFamEpIwY+Y9mtYX7lvIf4cMnek0L8zFS0isLTtSmCH7rQJ70XrdqFSeAnRSJSUlJCQkEBaWhoTJ07klltuYdKkSUybNo0hQ4awcuVKANavX88PP/xA165diYiIICkpiYceeoiOHTvSuXNnbrvtthPHHDFiBEopFi1axK5du0hMTCQoyP1jQ6W4EsJgBzJ2kJn4Cc0zfqBHWSoDlIMCmrPCGc2PjgH87IymkOZGx/QoX/8AInrFENEr5pRt5WXHydm3k2NZaZQdSkfl7cGvOJOQ4u20L/wZS7YTNlbuW6J9ybF0pMCvE+WtenD2dQ/K2C4h3OEMV5g8JTk5mbVr1xIWFsaSJUtYsGAB7dq1+8M+O3bs4IYbbmD8+PF89NFH9OjRg5kzZ/LNN98wePBgfvnlF3r2/H3SzrJly/D39yc2Npbs7GzatWvH1q1b3Z7d5eJKKfUa8K3W+kul1DygN/C11vrxqu0utQnR1DnsdtI3JHBswxe0z0kg0rmPjkCmKZT1HcbSInoU3WOGcc+sH4yOWi9cX88rEBhQ9aeSBTuhKvfEMhIRKodw5yHCbelEFq1k4bMZ/Md+qydiy3peQnjYhRdeyIUXXsjq1asB+PXXX7n99tsBcDorZ9q0atWK5557ji5duhAYGEhkZCQOh4OpU6eSlpbGJ5988odj3nzzzaxevZrk5GSioqIYM2YMAQEBvPPOO27N7lJxpZQ6H2hfVViNBsxa61il1NtKqW5AlCttWut0t6YXooEoLjxGeuIX2Ld/y1n5q+hJIXZtYkezs1kT/i9Ch4wmrGsUYUYHbWDsWNhXte7Wz0T/YdtsyztMMP/AQsdwdurOBiUUQtRFUVERJSUl5OXlkZKScmJwut1uBypvCb7//vs4HA6Cg4OZM2cOM2fOJCIigu7du5Oenk56ejrXXXcdDkfl7JtzzjkHX19f5s+fT3Z2Nj169DhxTIvFPTf0qj2KUsoKvAl8o5S6CogDFldt/h44D+jvYpsUV6LJOLhvB5mJS/HL+IGepan0V3YKac7OwKHs6XEZ3c65hj4yK85j/mu/lmvMvzLTspCbbdOBpr0YohAN0bhx4xgzZgyLFi3i7rvvPjGjr7y8HICBAwfSq1cvwsPD2b9/PxdddBFPPvkkI0eO5JFHHmHYsGF88sknOJ1ONm3aRFxc3B+OP3nyZABSU1Ox2WxuK66U1vrMOyh1O3AFMAW4E5gODNBapyqlLqHyGn034KXq2rTWc/507EnAJF9f34FhYWGMHDmSUaNGuaVjwv2Ki4sJCAgwOobXcjodFB3cge/BJM4qTqYr+wHIpD07/GM4HjKYgNDemC2uraWyObvAY1lD/OBQafX71UZUaM0Gh3qyn62zlnFT6fvMbXkf5W2jq/+CGqhpPz1F3peNizedz6CgILp27Wp0jBr58+KgZWVlJxYGLSgoqNXg9V27dlFQ8MefU/Hx8Sla61MHiVZxpUTrD8zVWucopRYC5wC/zVsMAExAsYttf6C1ngvMjYmJ0cnJyS5EEUZKSEg4pepv6kqK8tmx+kvs27/hrPxVtKag6nZfH9aEXUfokGsI6xZdq9t9E93wbMHTuS/KzvObPTOfJWNcXI3292Q/rVzKEJ+fGJb3AZfmRGN34xyemvbTU+R92bh40/ncvn07gYGBRseok5Pz17Yvvr6+9O/fv0Zf48pPml1Al6qPY4AIKm/xrQGigR1AlottQjR4OZnp7Etcit/eH+hZuoEByk4h/qQHDmVv98vods7V9Gld29XRhTvZsPCEfRxv+zzHePNy3nFcZnQkIUQT4EpxNQ94Wyk1FrBSOebqC6VUR2AEMBTQwEoX2oRocJwOB+kbfiZvwxeEHFxBF2cG7YEs1YH17a8joO9Iegy6hIE+zYyOKv7CT87+rHSczT2WT/jUcR4FeMctFyFE41VtcaW1LgKuP7lNKRUHXAw8o7UuqEmbEA3B8eICdqz+Etu2r+mSv5oe5OPQqnJ2X+e76TB4NGHd+tJJFqxsABSP28fzjc8M7rF8wiP2W4wOJISoA4fD4dZH1XhCrQYgaK2P8ftMwBq1CeGtSkuK2PT16/ju+Z6epRvpr2xVt/uGkNHtMrqdew295XZfg7RDh/Gh46ITSzPs1qFGRxJCuKhv375s2rTpxOc33XQT999//x+eMfjBBx+wf/9+pk2bxrFjx5g8eTJvvPEGLVu2xGQy4XA4aN269Ymv+fPA9w0bNpCdnX1i8HtdyQrtosFxfdFJ1ymcvGl9nuHmDWQ4Q1joHM5y5wDWOXtgL7PAEWB13SZdyKKTxnrBfj1XmlfzoOUDbrfdb3QcIRocd//sre5n4m8Lhfr7++NwONi8eTNbt24lOjqapKQkduzYQUREBO3atcPHx+fE1Syr1cqBAwdYvXo1S5YsYf78+ZjNZvr27cvy5cvZv38/EydOZPny5Sdea/jw4Vitrs3kdoXc0xACmGT+muHmDTxim0BcxQs8Zp9AorOPW2eXCWPl0YKX7dcwzLyBC0ypRscRQlTju+++4+KLL2bTpk2MGDGC3NxcrFYrGzdu5MiRI1itVkJDQ/nb3/5GeXk5WusTa1VZLBZGjhzJXXfdxW9LTplMJrTWTJkyhdLSUuLi4ujcuTOlpZXr0rjzVqP85hBN3mC1nfsti/jKMYT5jsuQxSYbrwWOSxln/pGZloWMqDgbB949bkOIpuzyyy/Hz8+PCRMm8OSTT564pbdt2zYuvPDCE0tWvPPOO6SkpHDs2DHi4+PRWrNhwwbi4uLQWjN79mzi4+MBWLBgAa1bt8bX15d27doxe/Zs/Pz8Theh1uTKlWjSWlPAyz4vk6nbMd12B1JYNW4VWHnKfhPdTdncaP7J6DhCiGrMnz+fgIAA7rjjDpKSkrj00kv54IMPmDFjBsOGDSMnJ4fIyEg+//xzgoOD+fXXX3n11VdxOBx8++23/PzzzycKK4ARI0YQHx9PSUkJu3btIjExkQ0bNrg9txRXosky4eS/1lcJooSptrspxt/oSKIeLHPGkOjozb8sS2hBidFxhBCn8dVXX2GxWGjZsiVPPPEE4eHhLFu2jJtuuomnnnqKH3/8kXbt2nHnnXeeuLUH8MMPP3DhhRfy/fffn3LMZcuW4e/vT2xsLJGRkbRr146tW7e6PbsUV6LJusuylPPNW/iPfSLbdbjRcUS9UTxmH09LSrjT8qnRYYQQp2G325k1axZQeYswJOTU2dorVqygQ4cOjB07FoCKigoWL17Mm2++yUsvvXTiYc2/ufnmmwkNDaW4uJioqCjGjBnD+PHj3Z5diivRJJ1n2sxd5k/52HEBix1xRscR9WybjmCx40JuMS8jQh00Oo4Q4i9cffXVREZGniiQ7Hb7H7ZrrYmLi+PBBx/EbrfjdDqZPn06N910E+Hh4QwfPpw77rjjxEOefzvOOeecw5gxY0hLSyM7O/vE8f58/LqQAe2iyQkhj/9aXyVdhzLLNhEZZ9U0PW+/gZHmNTxo+YBJtvuMjiOE1zNqOZmSksrb95dffjmmqoWb16xZw5NPPsmIESO49957sdlsrFq1CrPZzHPPPQfA9OnTmTVrFrt27aJXr15s2rTplOc2Tp48GYDU1NQTMw3dQYor0aRYsPOyz8v4Uc4U292U4p4F40TDc4SWvGq/mmnWjzjHsYXVzrONjiSE+Avbtm0D+MsxVL+ZMGECEyZM+EObUorHH3/8xOeZmZkEBQV5JuSfyG1B0aT827KEwaYdzLD9TVbpFrztuIz9zrbMsizEhNPoOEIID6qvwgqkuBJNyDBTCn+3fMlC+zC+cJ5rdBzhBcrx4Sn7jfQyZXKDOcHoOEJ4nd8W4Gyqatt/Ka5Ek9BJHeF56xtscUbwmH1C9V8gmoxvnENIcvbg35bFBHLc6DhCeA1fX1+OHj3aZAssrTVHjx6t1fMGZcyVaPR8sPGK9UVMaKbY7qYcH6MjCa+ieMw2gS+bzWSq5XPm2G80OpAQXqFTp05kZWVx5MgRo6MYxtfXl06dOtX466S4Eo3eDMsH9DPtYXLFvWTqU9dJEWKz7sLHjgu41fwt7zsuYr98nwiB1WolMjLS6BgN0hlvCyqlLEqpTKVUQtWfKKXUI0qpdUqpV0/az6U2Ierb5aY13GpZxlv2ESxzDjI6jvBiz9jG4MDMDMuHRkcRQjRw1Y256gt8qLWO01rHAT7AecBg4LBSarhSaqArbR7rgRCnEakO8rT1TdY7u/K03OoR1ThMK163j+JycxJD1Haj4wghGjB1poFqSqkpwFSgBNgM7ACKtdavKaWGAiOAAqCsujat9cN/cfxJwCRfX9+BYWFhjBw5klGjRrm7j8JNiouLCQgIMDoGm7MLqt1H2yu4bO+jtNV5vNfpMZR/63pIdmZRoTWbBuxKP2srxA8OlVa/X214Uz9rStvLuX7PdApUIN+fNRtlOv3/P2vaT0/xlvelcA85nw1DfHx8itY65nTbqxtztQ4YrrU+qJR6F/CjssACyANCADuw24W2U2it5wJzY2JidHJysgvdEUZKSEg4ZXVbI0yc/nW1+zxlmU93SyYTbQ+QsNs7xs9kjIur0f6u9LO27ouy8/xmzwy59KZ+1pyFXaYbecnnFealrWbJGR6NVNN+eoq3vC+Fe8j5bByquy24SWv924O3koFiKgssgICqr3e1TYh6Mdr0CzdaVvCK/SoSnP2MjiMamC+csax3duV+y2Ka46HLe0KIRq26ouc9pVS0UsoMXA00p3IsFUA0kAGkuNgmhMd1V/t5wvo2iY7e/J/9OqPjiAapcmmGdiqfv1u+NDqMEKIBqq64ehR4D9gIJAKPA/2VUi8C04EPgV9dbBPCo/wp4zXrixTjx122qTgwGx1JNFAbdDc+dZzLJPPXhNJ01/gRQtTOGYsrrfUWrXVfrXWU1vohrbUTGA6spHKQ+l5X2zzcD9HkaZ60vkWkOshdtn9yhFZGBxIN3DO2sThRTLfK/w2FEDVT47FQWutSrfXHWus9NW0TwlNuMv/E1ebVvGC/nkRnH6PjiEbgIK2Z6xjJKPMaBqidRscRQjQgMtBcNHh91F4etizgZ0dfXnNcaXQc0Yi8YR9Jjm7Ff6zvonAaHUeIBk07nRQV5HEoa3f1Ozdw8vgb0aC1oITXrC+SRwvusU1By/8XhBuV4svTtrH8n8/rXG1axafO842OJITXKCstoeBoDsV5hzief4TyosPYC4+gjx/FVJqHpSyPZrZ8mtvyCXAWEKQLCVQOSgmG2Y17tJAUV6IB0zxjnUtHdZQxFbM4RgujA4lG6DPnuUx0LuMB6yK+Kx9EKb5GRxLC7Rx2O4XHjlB49CAl+Yd58Ys1tFJFBFNIsCqq+riI4Kq/W6kiAlQZvpy6kKVTK/JpzjEdSB6BHNCtydMR5NGCPB3IER3E5x5a3y5jzhUeOW5NSXElGqzbzN9xmXkdj9nGsV53NzqOaKQ0Jh61TeCTZo8w2fIV/5UlPoSX004nJcUFFOTmUJJ/iNL8w1QUHsFRkosuycVcmoe1/Bi+tnyaO/IJdBYSpItppfSJqUD/8/n9eMXa90ShdEwHspuO5DkDydOBHKPy7zzd4sT2Apo3+dnaUlyJBmmA2skMywd87xjIPMflRscRjVyK7sGXjqFMNn/FR/Z4cjD+cUqi6SgvO05h3mEKj+ZQmn+I8sIj2ItzcRbnYio9iqX8GM0qjuFvyyfAWUhLXUiAsvNXD9Gp0GYKVAuKTUEctwRxxL8bB32DcfoFo/xbYwlsQ7MWIUz7NutE8VSOz18cSZyJFFeiwWlFIa/4vMRBHcy/bX8HlNGRRBMwx3YjlzRL4QHrIv5lm2J0HNGI5OZksm/9j9gy12HK20/q2ifws+UT4CighbOQAFVKW6DtX3xtPgEUqRaUWFpS4NuR3GZ9cPi2RjUPxtS8Dc2C2uLboh0BwSEEBrcnsEUr2ppMf3msk237xpseS9XwSHElGhSnw8EL1tdpTSHX2mZTSHOjI4kmIpu2vOm4nH9aPudd+yVGxxEGiajzWCFNZ3WYIaY0BqkdDDKl0cWUQxugXFvJJYijOpADugV5tKu8HVd1BemoDvzD7bl8Aly8/VYKZJAxR5apqS9SXIkGJem9WcSbU5lpu5UtuovRcUQT87r9Sm4w/8ws63to550ok8xOFWemcNJdZTHItIMhpu0MMu2gvToGQL5uzjpnTz60XcQ6Z0+26AjujsJjD1UX9UfOoGgwtq76mkF7X+MLZywLHcONjiOaoBL8eNZ+A89a55L87TxirrjD6EjCy1iwE6X2MsiUxmBTGjGmnbRUJQAc1MGsdfZinbMHSc6epOvQv1g+xl7/oYXbSXElGoTcnExCfphCtrkjM8r/hoyzEkb5xHEBt5i/p9O6OZTF34iv/18NGxZNhR9l9DftYnDVbb4BpnT8VAUAu50d+M4xiCRnT5J0T7J0W+RnV9MgxZXweg67nUNvj6eLPk7RtYspeS/X6EiiCXNi4jHbBBY1e4zERY8Re+vTRkcS9SiIYgaZdlRdmdrB2WovVuXAoRXbdTgfOeJZ6+xFsrMHuQQZHVcYRIor4fWS3rmf2IpUkvo9zuA+QwCZxSKMtVb3Yn3z84nOmM+RA/+gbccIoyMJDzmcvZfMjctx7PmVdsc2kOq7D4BybSFVn8VcxxUkOXux3tmNIvwNTiu8hRRXwqttWvExsVlvk9TycgZfc6fRcYQ4IeTap7EsuICMxdNpe89HRscRbqCdTrJ2b+bgphWozNWEFm6koz5EO6BY+7HHrw/PFg1hnbMHqfosWf9JnJZLxZVSKgT4TmvdXyk1D+gNfK21frxqu0ttQtREzv5ddP75HvaaIoi6Y67RcYT4g9AufUjsOJbYgwtJ37iSbv3kuYMNjcNuZ+/WteRuS8Anew1hxZvoTD6dgTxakNE8mszQCbTuHUdknyH0tfpwpYce2yIaF1evXD0H+CmlRgNmrXWsUuptpVQ3IMqVNq11uof6IBohW0U5+e9OoLO2YR67AL/mgUZHEuIUZ499jLz/+wL719PQfX+VpRm8XHnZcfakriQ/7Wf8DybRpXQLXVUpXYGDtGVv0GD2dI4lJOoiwrr1JVjOp6ilaosrpdRFQAmQA8QBi6s2fQ+cB/R3sU2KK+GylHl3M9S2jZTBzzOwez+j4wjxlwKDglnb5x6GbH2U9csWMGDErUZHEicpLjzGnvU/UZK+kqAjyZxVnkYvZQMgw9SZbW0uxRxxDp36DaND5650MDivaDyU1vr0G5XyAZYB1wCfAbuBl7TWqUqpS4ABQDdX2rTWc/7i+JOASb6+vgPDwsIYOXIko0aNcncfhZsUFxcTEOD5aecFu1ZzVdbT/Oh3KeYhpz5mZHN2gcczeEJUaM1mDnmynyF+cKjUM8f2pn560m/9dDrthP1yL36Usv3cV7FYm9Vrjvp6XzYEZSX5lB/YQvNjW+lcmkZX517MSmPXJtJNkWT59eJ4cB98O/ShWfPazeTz9Pert7w3G/r70tPi4+NTtNYxp9te3ZWr6cBrWut8pRRAMeBXtS0AMNWg7RRa67nA3JiYGJ2cnFx9b4ShEhISiIuL8+hrZO/ZTmDCy6Sbu3Le3e/QzPfU2TcTG+iYh4xxcTXa35P9vC/K7rFVoL2pn550cj+3WB+n6483k3ngF2JveaJec9TH+9JbHdy3g+zUn3BmrCIkfwPhziwAyrSV3c16sa7dbTTvfiFd+l9Ir8CW9HLDa3r6+9Vb3puN4X1ppOrO4HDgIqXUVKAfEAbsB9YA0cAOIIvK237VtQlxRmWlJZS+P45AFM3Hv/+XhZUQ3ujs869iQ+I5RO2ZR27OZNq0DzM6UqOjnU4yd2wgZ8sKzPsT6VS4kQ7k0gEoxJ+9flEc6DCaVj0voEv0+fRp5mt0ZNGEnbG40lpf8NvHSqkE4EpgpVKqIzACGApoF9uEOKPUef9kiGM3G899nX6RPY2OI0SNtBn9DD7vXci2RTNoc/f7RsdpNMqOF5M6bwrdj64gnELCgSO0IjMgmn2dhtKmTzwRvWKItsjKQsJ7uPzdqLWOA1BKxQEXA89orQtq0ibE6SR//SZDcpeypv04hl58k9FxhKixzl2jWNP+egbnLGL3ptWc1fccoyPVuwg330pqQwFv+jzPILWbT53nssbZmyRnT/bpEChTkAtsPErl0ODay5hzhVvyCvGbGpf6Wutj/D4TsEZtQvyVfTs20jvpIbb79Gbgbf9ndBwhaq3XmMcpeOlryr6ahj77Z1maoQ66qizmW5+ljSrg77Z7+N45yOhIQrhM3vnCUKUlRTgX3Uy5akbwLQux+tTvTCsh3CkouC07e91Jn4pNbFz+gdFxGqxzTFtY6jObZsrGDRX/kcJKNDhSXAlDbXnzDsIdmWTFv0hIp7OMjiNEnQ0cfS8Zps60TXyM8rLjRsdpcK43J7DA+jQHdGuuKX+EzbqL0ZGEqDEproRhkj59iUH535LU+TaiLhxtdBwh3MJi9aHwgkfopHPY8PEzRsdpMBRO7rd8xLPWuSQ6e3N9xcNk09boWELUihRXwhB7tqyl78ZH2dKsH4Mmyi8g0bj0jbuWVL/B9El/g7zD2UbH8XrNqOBl6ytMtXzBB/aLuM12P0XIUiyi4ZLiStS7ooI8rJ9MpFg1p/2tCzHLFGrRCLW86mn8KCd90YNGR/FqwRTygc8TjDSv4QnbTTxovx17zedaCeFVpLgS9Uo7nex86zY6Og9y6JLXadO+s9GRhPCI8J4DSGk3mpjcz9m7bZ3RcbxSF3WAT33+Qx+Vwd8r7uFNx0hAGR1LiDqT4krUq6QlzzKwaAVJXabS55zLjY4jhEf1GPMExcqf4s/vRzudRsfxKkNN21jq8zD+qoyxFbP4zjnY6EhCuI0UV6LepG/4hf7bniHVbzBDxj9qdBwhPK5lm/Zs7z6FqPINpK6QZf9+M9r0C+9an+Kwbsk1FY9ZeEDPAAAUj0lEQVSxUXc1OpIQbiXFlagXBXlHaP7F7eSploTf/h4ms9noSELUi4HX3U+mKZTWvz6CraLc6DgG09xr+ZgXfN4gydmT6ypmk6VlRqBofKS4Eh6nnU72vHUzbZxHyR85l5Zt2hsdSYh6Y/VpxrHz/kNnfYCUj581Oo5hfLDxX+ur3G1ZyiJ7HLfaplFIc6NjCeERUlwJj1v7waP0P76a9T3+Rc+YYUbHEaLe9Y27gU2+A+m98zXyc3OMjlPvWlHIQp8nudq8mmdsY5hmvwObzAgUjZgUV8Kj0tZ+T0z6i6xvfj5DxsqUdNE0KZOJwCufprk+zo5FDxkdp15FqIMs9XmYaLWHf1bcyWuOq5AZgaKxc6m4UkoFK6UuVkq18XQg0XjkHc4m+NvJ5Jja0fWOBfIQW9GkRfYeRHKbqxh4eCn70tYbHadeDFJpfOrzMC3UcW6seIivnLFGRxKiXlT7204p1Qr4ChgMrFBKtVVKzVNKJSqlZp60n0ttomlwOhxkvT2BIF1E2dVv06Jla6MjCWG4bmOe5LjyJf+zB4yO4nFXmlax0OdJ8nQg11Q8ynrd3ehIQtQbVy4l9AX+pbV+AlgGXASYtdaxQBelVDel1GhX2jzVCeF91r77IH3LUth49gy6Rp9rdBwhvEJwu1C2dZ1MdNk6Nq342Og4HqK507yUl3xeZb2zO9dUPEKmDjE6lBD1qtriSmv9s9Z6jVLqAiqvXl0K/LZgy/fAeUCci22iCdiy8nOGZPyP5BbDGXztvUbHEcKrDLh+OlmqA0ErZ2O3VRgdx62s2Hne+gb3WT/mY8cF3GybTiEBRscSot4prXX1OymlgFeATkAu8JLWOlUpdQkwAOjmSpvWes6fjjsJmOTr6zswLCyMkSNHMmrUKLd2ULhPcXExAQFn/kFZWpjL4JR7KVSB7Ip9Dmsz9z98dXN2gduPWR+iQoNqtL8n+xniB4dKPXNsb+qnJ9W0nycr2LWaq7Ke5svWtxMYdWWdcrjyvqwP5SWFtF33JAPYzpJm13Kw05UoU8MYuF6Tc+np71dveW82xfdlTcTHx6dorWNOt92lubC6sgKbqpR6DLgOeLNqUwCVV7+KAT8X2v583LnA3JiYGJ2cnOxKFGGghIQE4uLiTrvdbqtg57MX4Uc5xWM+4+JeAz2SY+L0rz1yXE/LGBdXo/092c/7ouw8v9kzU+G9qZ+eVNN+nkxfcAFb53zH+UcXofrOICi49gtpVve+rA/Ze7biWDiFEH2Iu2xT+aLsXGhAv5trci49/f3qLe/Npvi+dCdXBrRPU0rdXPVpS2AOv9/iiwYygBQX20Qjtm7+v+ldsZmtA2YT7qHCSojGQJlM+I56hha6hO2LGvZ8n7SkH/B/9zJaOAsYX/EgXzhljKUQrpTHc4HFSqm/AVuAz4BflFIdgRHAUEADK11oE41U6k+LiT2wgKTgUQy+aorRcYTwemdFDSVpxUgG5ixhf/oUOneLNjpSjaV8/RZnJ03niKkNetwS1r2VaXQkIbyCKwPaj2mtL9ZaX6C1nqK1LqBysPoaIF5rXaC1LnSlzVOdEMbKyUwn/Jd72W2OpO/f3jA6jhANRpcbnqIcH45+Os3oKDWinU7WvPMgA9fdxx6f7gRMTaBz1yijYwnhNWq1qmNVwbVYa51T0zbRuFSUl1Hw7jgs2oHPje/h62/8wFohGoo27Tuz+aw76Hc8kc2/fG50HJfYKspZ99I4hma8SnKL4XS5b7k8L1SIP5Els0WdrJ93Fz3sO9g59Cn5n6sQtdD/+ukcUCEEJMzy+qUZCo7lsuP5Sxic/w2Jne9g4D1LaObr/hnBQjR0UlyJWtuwbAFDDy9iTdvrGTDiVqPjCNEg+fo1J2fwDCKd+0j57CWj45zWgb1p5L8cR/eyzazr9ySxtz8nj7QS4jTknSFqJWvXFrqunsZOS3cG/O0Vo+MI0aD1v/QWtlnPptvWFynMP2p0nFPsSP6JZgsuoaUzj/RLFzLo6qlGRxLCq0lxJWqsrLSE8g8n4FQmAicsxKeZr9GRhGjQlMmE9Yo5tNRFbPtoltFx/mD9d+8Q/uUNlClfCm76hj7nXG50JCG8nhRXosZS3/oHZzn2sPf8F+gQ3sPoOEI0Ct36nU9Kq8sYcPAjsvdsNTpO5YzA9/7DgDV3k2Htit8/VhDWvZ/RsYRoEKS4EjWS/MUbDDn6OYkdbqbfsLFGxxGiUYm4YQ52LBz6xNilGWwV5SS9cgtDd79ISmA8Eff9SHC7UEMzCdGQSHElXFZ0ZB+9U/7DNuvZDLrteaPjCNHotO0YQWrkbQwoWcnWVcY8fqQw/yhpz1/GkLwvSAydSP97PsHXr7khWYRoqKS4Ei45XlxAn61PU6aa0fbW97FYfYyOJESj1P+GmeTQFt+fZuKw2+v1tXMy0zn6Ujw9y1JZ1/dRYu94EZPZXK8ZhGgMpLgS1bLbKtg293Yi9AGyL3qFth0jjI4kRKPl6x9A1qBpnOXYw/ovXq23103f8AuWt4fT2nmEHcPnM2j03fX22kI0Np559LYwTISbn2R+nmkzMy0LiTHtZ4nvaO7/xgLfuP92RcacK9x+TCEaqoEjbidtwzwiN71A8fCbCWjRyqOvt+H7hfRcdS/HTC0puWEpZ8uD14WoE7lyJf5SF3WAt6zPstDnKfwp4x8Vd3Ow01VGxxKiSVAmE6bL59CGfDZ/9LDHXkc7nax5/1GiV/2TTGskPpN/IlwKKyHqTK5ciT8Iopi7LUuZYP6BMnyYYxvLfMdllONDb1P9jv8QoinrPiCO5ISLGZD9AQcyptIxwr3LnthtFaT8bzJDc5eyPvACek/5UJ4NKoSbyJUrAYAFO7eYl5HQ7F/cYl7GEscFxJe/wBuOKylHBq8LYYTONzyNE8XBjx9w63GLC4+x9fnLGZK7lMQO4+l372dSWAnhRnLlqsnTxJs28pDlfbqaDvCrow+P2yeQpsOMDiZEkxfS6SwSw24hdv+bbF+7jF5DLq3zMQ9l7abk7dH0cWSy9uz/EHv9fW5IKoQ4WbVXrpRSQUqpb5VS3yulPlVK+Sil5imlEpVSM0/az6U24T26qSzetc5hvs+zmHDyt4r7GG97UAorIbxI9JhZHCYYyw8P4XQ46nSsXam/ot4aTjvHIbZfNI8hUlgJ4RGu3BYcB7ygtb4EyAHGAmatdSzQRSnVTSk12pU2T3VC1EwwhTxmeZvvfKYRbdrNo7YJXFrxDMudAwFldDwhxEn8A4LIHPAA3ezppHz5Rq2Ps3H5h3RcOhonZo6M+ZKoC0e7MaUQ4mTV3hbUWr920qdtgfHAf6s+/x44D+gPLHahLb3ukUVt+WDjFvMy7rR8hj9lvOe4mP/aryWfQKOjCSHOYMAVk9i56W3CNz5HybBxNA9sWaOvX/PhkwxKe4Y91q60uu0TIjuGeyipEAJAaa1d21GpWOBxIAN4SWudqpS6BBgAdHOlTWs950/HnARM8vX1HRgWFsbIkSMZNWqU2zrXFG3OLjilTTs1/rnruST/I8LUIdaoaJJDxqIDa/assBA/OFTqrqR/FBUa5PK+f9XHhqAmfQTP9tNbziU0nfNZVwVZW7lq14N8F3gtvgNvPtFeXFxMQMBfD0Z3Ou04173F8NJvWWsZRNGg+7A08/NYxqZwLj3dR295bzaFc1kX8fHxKVrrmNNtd2lAu1IqGHgZuBb4F/DbuzOAyluLxS62/YHWei4wNyYmRicnJ7sSRVRj4p8WEe2jMphpWUiseRs7dSi32KbxszO6skSuofui7Dy/2TNzIDLGxbm875/72FDUpI/g2X56y7mEpnM+6y6OlOeXE1f4BfldZtA+rHKkRUJCAnFxp2YpKcon/fWx9CtNZE3IjQy64xXMFs/OYWoK59LTffSW92ZTOJee5MqAdh9gCTBDa70PSKHyFh9ANJW/pl1tE/WkLfk8bZnLlz4P0cOUyUzbrYyomFNZWAkhGqSO11Ve/M/6ePoZ9ztyIIOD/72IqJI1rO39EEP/8YbHCyshxO9cebfdTuVtvoeUUg8B84EJSqmOwAhgKKCBlS60CQ9rRgW3m79hiuULfLAxzzGCl+3XUIg81V6Ihq5DeA8SO40nNns+ack/0jNm2Cn77N68hoBPbqKDLmFL3JsMib/egKRCNG3VXrnSWr+utW6ltY6r+rMAiAPWAPFa6wKtdaErbZ7qhKh8jEXK12/xY7N/84B1MaucZ3NJxTM8YR8vhZUQjUjfsbPJpSXquxlop/MP21JXLKH9x1eh0ORc9znRUlgJYYhaXSfWWh/j95mANWoT7rdzfQLOb2cw0LaNbTqcG22TSXT2MTqWEMIDmge2ZGv0vxmcOpPkr9+EwMrH4qxd/AwxW59kr6ULLW77hLNCIw1OKkTTJY+/acAOZe0m+YXr6P7FVbSxHSApajYjK56QwkqIRi7myinsMp9F55SnsZUfZ83rf2fItifY7D+EDvf8RDsprIQwlIxwbICOFxeQuugx+mUuIApNYugtRI19hMEtWuFc1zBneAghXGcym6kY/gQhy8ZyduKddCCXNW2vZ9BkGbguhDeQd2ED4nQ4SPnqf4RveJZY8kgJjKPDdc8QG9HD6GhCiHrWO3YE61ddQHTRStb0fIChNz5kdCQhRBUprhqItLXfY/7hQQbZ00m3dOPoxW8w0A0PcRVCeF6Eh9YMasZt/DPyCp5P7Qyp7n+NjDlXuP2YQjQFUlx5uQMZOzj48QMMLE7gMMGs6/8UA0dOxmQ2Gx1NCGGwcnwgoIPRMYQQfyLFlZcqLjzG5o8eZkD2B7RCkRh2B9FjZjEooH4fuSGEEEKImpHiyss47HZSPn+ZLpv/Syz5JAddTOcbnia201lGRxNCCCGEC6S48iJbVn2J30+zGOzYS5q1N3kjFhAzIM7oWEIIIYSoASmuvMD+XZvJXfoA/Y+v5iBtSRn0PANG3IYyyTJkQgghREMjxZWBCo7lsv2jmQzIWUwwVhK7TKX/9Q/SwT/A6GhCCCGEqCUprgxgt1WQsvT/6L79ZQbrYpJbjaDLDXOI7RhudDQhhBBC1JEUV/VsU8IntPjlYYY497PVpy9Hr5jD4OhzjY4lhBBCCDeR4qqe7EtbT/5nDxBdto4s1Z4N57xKv+E3ybgqIYQQopFx6Te7UipEKbWy6mOrUupLpdQqpdRtNWlrivJzc1j7ym2EfjiMyLKtrOl6L22nbaD/JeOlsBJCCCEaoWp/uyulWgELgOZVTXcCKVrrc4HrlFKBNWhrMirKy1jz/qOYXhlAzJGlpLS5EvuUZIaOn00zX3+j4wkhhBDCQ1y5LegAxgCfV30eB0yv+vgXIKYGbSvqmNfraaeT1J8W0XrVowzVB9jkO5DAK59mSO9BRkcTQgghRD1QWmvXdlQqQWsdp5T6ERittS5QSk0CCoE7XGnTWn/0p2NOAib5+voODAsLY+TIkYwaNcqd/atXRYf20GnHPPo7t5BBR1LDJtIiYlC93v7bnF3gsWOH+MGhUs8cOyrU9cf6eLKPnlSTPkLTOJfQNM6nnEvv5i3nErznfDaFc1kX8fHxKVrrmNNtr82A9mLADygAAqo+d7XtD7TWc4G5MTExOjk5uRZRvENuzn72LJ7B+Ue/okg1Z02PaQy89j4ifJrVe5aJ07/22LHvi7Lz/GbPzIHIGBfn8r6e7KMn1aSP0DTOJTSN8ynn0rt5y7kE7zmfTeFcelJtLqmkAOdVfRwNZNSgrVHRTidr3p2F7+uD6H/0G9aF3IC6cz1Db3wQqwGFlRBCCCGMV5vyeAHwjVLqfKA3sBbIdrHNMBEeqsJftiaRSC+est/EnsyO8Kx7r8BlzLnCrccTQgghhGe5XFxpreOq/t6nlLqYyqtS/9FaOwBX2xqd+2z/oAKr0TGEEEII4SVqdWNXa30AWFybtsZGCishhBBCnExWsRRCCCGEcCMproQQQggh3EiKKyGEEEIIN5LiSgghhBDCjaS4EkIIIYRwIymuhBBCCCHcSIorIYQQQgg3kuJKCCGEEMKNpLgSQgghhHAjKa6EEEIIIdxIiishhBBCCDeS4koIIYQQwo2kuBJCCCGEcCMproQQQggh3MjjxZVSap5SKlEpNdPTryWEEEIIYTSPFldKqdGAWWsdC3RRSnXz5OsJIYQQQhjN01eu4oDFVR9/D5zn4dcTQgghhDCU0lp77uBKzQNe0lqnKqUuAQZoreectH0SMAmIBiqAI0CuxwIJIYQQQtRduNa67ek2Wjz84sWAX9XHAfzpSpnWei4w18MZhBBCCCHqjadvC6bw+63AaCDDw68nhBBCCGEoT98WbAGsBH4ERgBDtdYFHntBIYQQQgiDebS4AlBKtQIuBn7RWud49MWEEEIIIQzm8eJKNGxKqSDgI8AMlABjtNYVxqYSdaWUCgG+01r3NzqLqBul1GvAt1rrL43OImqn6iLE+0A7IEVrPdngSKKOZIV2UZ1xwAta60uAHOAyg/MI93iO3yebiAZKKXU+0F4KqwZvAvC+1joGCFRKxRgdSNSNFFfijLTWr2mtf6j6tC1w2Mg8ou6UUhdReRVSbtM3YEopK/AmkKGUusroPKJOjgJnK6VaAp2B/QbnEXUkxZVwiVIqFmiltV5jdBZRe0opH2AWMN3oLKLObga2Ac8Ag5VSdxqcR9Ter0A4cBewHcgzNo6oKymuRLWUUsHAy8BtRmcRdTYdeE1rnW90EFFn/YG5VROFFgLxBucRtfcw8Het9aNAGnCrwXlEHUlxJc6o6krHEmCG1nqf0XlEnQ0HpiqlEoB+Sqm3DM4jam8X0KXq4xhA3p8NVysgSillBoYAMtOsgZPZguKMlFL/AJ4EUquaXtdaLzIwknATpVSC1jrO6ByidpRSgcDbQAhgBa7TWmcbm0rUhlJqMDCfyluDicA1WutiY1OJupDiSgghhBDCjeS2oBBCCCGEG0lxJYQQQgjhRlJcCSGEEEK4kRRXQgghhBBuJMWVEEIIIYQbSXElhBBCCOFGUlwJIYQQQrjR/wM8XajJa0Cg1wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 720x444.96 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# 解决中文乱码问题\n",
    "plt.rcParams[\"font.sans-serif\"] = \"SimHei\"\n",
    "\n",
    "x = np.array([1,2,3,4,5,6,7,8,9])\n",
    "y = np.array([866,2325,5710,6482,6120,1605,3813,4428,4631])\n",
    "\n",
    "# 在2x1个坐标系的第1个坐标系中绘图\n",
    "fig = plt.figure(figsize=(10,6.18))\n",
    "plt.subplot(211)\n",
    "plt.plot(x,y)\n",
    "# 开启网格线\n",
    "plt.grid(b=\"True\")\n",
    "# 轴刻度线设置成双向，且下轴刻度线不显示\n",
    "plt.tick_params(axis=\"both\", which=\"both\", direction=\"inout\",bottom=\"false\")\n",
    "\n",
    "plt.plot(x,y,label=\"折线图\")\n",
    "plt.bar(x,y,label=\"柱状图\")\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x82e0c50>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x,y,label=\"折线图\")\n",
    "plt.bar(x,y,label=\"柱状图\")\n",
    "# 设置图例显示的位置\n",
    "plt.legend(loc=\"upper left\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7c37c50>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x,y,label=\"折线图\")\n",
    "plt.bar(x,y,label=\"柱状图\")\n",
    "# 设置图例显示的列数\n",
    "plt.legend(ncol=2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 设置图表标题"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'This is title')"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.title(\"This is title\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0,1,'This is title')"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 指定位置：left,center,right\n",
    "plt.title('This is title', loc='left')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 设置数据标签"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "语法：  \n",
    "plt.text(x,y,str,ha,va,fontsize)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(6,1550,'极点值')"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXsAAAD6CAYAAABApefCAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAAIABJREFUeJzt3Xlc3NW9//HXYd8Jw04WluyQPUASmyiJiYnLrUtr1bZqa621jbGtvb22tvb2qrW3drm2bjVuP69etcYu1kRBzR6bCGSHkJAFyMawh32Z5fz+YIiYaBgIw3eWz/Px4CEcYOYzIb45+XzP9xyltUYIIYR38zO6ACGEEK4nYS+EED5Awl4IIXyAhL0QQvgACXshhPABEvZCCOEDJOyFEMIHSNgLIYQPkLAXQggfEGB0AX3i4uJ0Wlqa0WUIIYRH2blzZ73WOn6gr3ObsE9LS6O4uNjoMoQQwqMopaqc+Tpp4wghhA+QsBdCCB8gYS+EED5Awl4IIXyAhL0QQvgACXshhPABEvZCCOEDJOyFW+i22nij8Diby+uw2OxGlyOE13Gbm6qE7zpc08qq13dz0NwKwKiwQFZkJXH1jGQWZMQS4C9zEiEuloS9MIzWmld3VPHIujLCgwP489fn4qdg3f5q3tl7mjeKThATFsiKaUlcPT2F+RkmCX4hhkjCXhiioa2b+/+6jw/Larl0Ujy/u3EGCZEhAFyRlUSXxcamQ3W8u7+at/ec5vXCE5jCg1ielcQ1M5KZly7BL8RgKK210TUAkJ2drWVvHN+wpbyOH63ZS3OHhfuvnMI3L0nDz0997tf3Bn8t6/abWV9WQ0ePjdjwIMeMP5l5GbH4X+D7hfBmSqmdWuvsAb9Owl6MlG6rjd+8d4gXP6pgYkIEf7x5NpkpUYN6jM6e3uBfu7+aDWW1dFpsxEX0Bv9V05OZly7BL3yLhL1wK/0vwt62IJUHrppKSKD/RT1mR4+VTYfqWLevmvUHa+iy2ImLCObKab0Xd3PSTBL8wutJ2Au3cO5F2N9+eQaXT00c9ufp6LGy8WAd6/afZsPBWrosduIjHcE/PZlsCX7hpSTsheEudBHWldq7rWw4WMu7+6vZcLCWbqudhL7gn5FCdmrMBa8RCOFJJOyFoQZ7EdZV2rutrD9Yy7p9p9l0qI5uq53EqGCunJbM1TOSmTtOgl94Ngl7YYjhuAjrKm3dVtaX1bBuXzWbyuvosdpJigrhyum9rZ45EvzCA0nYixHniouwrtLaZWHDwVrW7qtm86E6emy9wX/V9N4Z/+yxoyT4hUeQsBcjZqQuwrpKa5eF9WW9wb+lvDf4U6JDuLJf8CslwS/ck4S9GBFGXYR1lZYuCx8eqOHd/dVsKa+nx2Zn9KhQnv7aHGaOHWV0eUKcx9mwl+0SxJBtLq/jR2/upaXTwoPXZBp2EXY4RYUEcsOcMdwwZwzNnb3B/8t3Snl1R5WEvfBoEvZi0M69CPvKt3KZmuweF2GHU3RoIF+aO4b8UjNFlY1GlyPERXF6Jyml1NNKqX9zvP+CUmq7Uurn/T7v1JjwbIdrWrn2yY948aMKbluQyjurFnpl0Pc3L91EZUMHtS1dRpcixJA5FfZKqUVAktb6HaXUDYC/1noBkKGUmujsmMtehXA5rTWvbK/kmie2UdfazQu3Z/PQtdPcdrXNcMpJMwFQKLN74cEGDHulVCDwHFCplLoWyAPedHz6fWDhIMbOfey7lFLFSqniurq6Ib8I4VoNbd18+3+LefDtUuZnxPLeDxZ51Gqbi5WVEkVYkD9FFRL2wnM5M7O/DTgAPAbkAiuBU47PNQKJQLiTY5+itV6ttc7WWmfHx8cP9TUIF9pcXsfyx7eypbyeX1yTyUvfyPHo1TZDEeDvx9zUGAorm4wuRYghcybsZwOrtdZm4FVgCxDq+FyE4zHanBwTHqLLYuOhdw5w+4uFxIQF8vY9X+COhekev9pmqHLSTBw0t9DcaTG6FCGGxJkAPgJkON7PBtL4pCUzE6gEdjo5JjzA4ZpWrnvKty7CDiQnzYTWsLNKWjnCMzmz9PIF4EWl1M1AIL29+H8qpVKAK4H5gAa2OjEm3Fj/O2EjggN44fZsn+rNX8jscaMI9FcUVjSxZIr8mQjPM2DYa61bgRv7jyml8oBlwGNa6+bBjAn31P9O2MsmxfNbD78TdriFBPozY8woCisajC5FiCEZ0k1VWusmPllpM6gx4X763wn7i2sy+YYX3AnrCjlpJl7Ydowui80nlpwK7yIXTX2YXIQdnNz0GCw2ze7jZ4wuRYhBk+0SfFT/7YhvX5DKT914O2J3MTfVhFJQVNnIgvGxRpcjxKBI2Pug//u4iofeOUBEcAAvfiNbLjg6KTo0kClJURTKzVXCA0kbx8eUVbfws7+XkJtu4r0fLJKgH6TctBh2HW/CarMbXYoQgyJh72PeKzGjFPzPTbNktc0Q5KSb6OixUXq6xehShBgUCXsfU1BiJifNRFxEsNGleKTcvk3RpJUjPIyEvQ+pqG/nUE0ry7OSjC7FYyVEhZAWGyY7YAqPI2HvQwpKzQAsz5I+/cXISTNRXNmI3e4eR3oK4QwJex+SX2Jm+uhoxsSEGV2KR8tNN9HUYeFIXZvRpQjhNAl7H2Fu7mLPiTOsmCYtnIuVmy59e+F5JOx9xPsHpIUzXMaZwkiIDJZzaYVHkbD3EfklZsbHhzMhIdLoUjyeUoqcdBOFFY1oLX174Rkk7H1AY3sPH1c0SgtnGM1LN1Hd3MXJpk6jSxHCKRL2PuDDshpsds2KrGSjS/EafYeQSytHeAoJex/wfqmZ0aNCmTbat0+bGk6TEyOJCgmQsBceQ8Ley7V1W9lyuJ4rshJRSrYuHi5+foqcNBMfy4oc4SEk7L3cpkO19FjtrJC7ZoddTrqJY3Xt1Ld1G12KEAOSsPdy+SVmYsODyHb0mMXw6evbF0srR3gACXsv1mWxsfFgLcsyE/GX06eG3fTR0YQE+lFY0WR0KUIMSMLei/3raD3tPTaWy5JLlwgK8GP22BgKK+UQcuH+JOy9WH6JmcjgAC6RI/RcJifdxIHTLbR2WYwuRYgLkrD3UlabnQ8O1LB4SgLBAXK2rKvkppmwa9glh5ALNydh76WKKpto6rDIXbMuNid1FAF+isIKaeUI9yZh76UKSs0EB/hx2aR4o0vxamFBAWSNjqZILtIKNydh74Xsdk1+iZlLJ8UTHhxgdDleLzcthj0nz9BttRldihCfS8LeC+071Yy5pUuOHxwhOWkmeqx29p1sNroUIT7XBcNeKRWglDqulNrkeJuulPovpVSRUuqpfl/n1JgYGQWlZvz9FEunJhhdik/IkUPIhQcYaGY/A3hda52ntc4DgoCFQC5Qq5RaqpSa68yYy16B+BSte1s4CzJiGRUWZHQ5PiEmPIhJiRES9sKtDRT284FrlFKFSqkXgMuBv+reExsKgEXAZU6OnUcpdZdSqlgpVVxXVzc8r8jHHa5to6K+XW6kGmE5aSZ2VjVhk0PIhZsaKOyLgKVa61wgEAgFTjk+1wgkAuFOjp1Ha71aa52ttc6Oj5dVI8Mhv6T3+MErMuX4wZGUm26irdtKWXWL0aUI8ZkGCvt9Wutqx/vFQBu9gQ8Q4fh+Z8fECCgoNTNn3CgSo0KMLsWnyCHkwt0NFMKvKKVmKqX8gevonbEvdHxuJlAJ7HRyTLjYicYOSk+3yI1UBkiODmVMTKgcZiLc1kCLsB8CXgMU8E/gEWCrUuqPwArHWxXwayfGhIsVlPa2cGTJpTFy00xsLq9Day0HxQi3c8GZvda6RGs9Q2s9XWv9M621HVgKbAWu1FpXODvm4tch6O3XT0mKJDU23OhSfFJuuomG9h6O1bcbXYoQ5xl0L11r3am1fktrfWywY8J1alu72Hm8SVo4Bspx9O2LpG8v3JBcOPUSHxyoQWsk7A2UERdOXEQQhdK3F25Iwt5L5JeYSYsNY3JipNGl+Cyleg8hlxU5wh1J2HuB5g4L2482sDwrSS4MGiwnzcTJpk6qmzuNLkWIT5Gw9wIbDtVgtWu5a9YNyHp74a4k7L1AfomZxKhgZo0ZZXQpPm9qchQRwQES9sLtSNh7uI4eK5vL61ielYSfn7RwjObvp5ibGiM3V4kBaa0xN3ex4WANHx9z/UlncrKFh9tSXkeXxS43UrmR3HQTvy04RFN7DzHhsvOo6D0T+lh9OwdOt3CguuXsfxvbewBYOjWReRmxLq1Bwt7DFZTWMCos8GyvWBivb3/74qomlsmGdD6nvdvKQXNvoJc6Qv2QuZVuqx2AoAA/piRFckVmIpkpUWQmRzElOcrldUnYe7Aeq50Py2pYnpVEoL905NzFjDHRBAX4UVjRIGHvxbTW1LZ2nzdbr2xoRzt2uo4JCyQzJYrbFqSSmRJFVko0GXHhBBjw/6uEvQfbfqyB1i4rK6SF41ZCAv2ZNWYUhZVyCLm3sNk1FfVtvTP1fuHe4GjDAKTGhpGZHMUNs0f3zthTokiKCnGb5dAS9h4sv8RMWJA/CyfGGV2KOEdOegzPbj5Ge7dVDn33ML1tmNZPzdYPmVvosjjaMP5+TEqK4PKpCWQmR5GZEs2U5EiiQgINrvzC5G+hh7LZNR8cqGHx5ARCAv2NLkecIzc9lqc2HmX38TPyy9iN1bZ2faq3Xna6hYp+bZjo0ECyUqL4+rzUs7P18fERHtk2lbD3ULuON1Hf1i03UrmpOeNG4aegsLJRwt5NVDd3UlTZ9Kk2TH1b99nPjzWFkpkcxbWzRpPlCPbkaPdpw1wsCXsPlV9iJsjfj8WT5ThHdxQZ0nthTnbANF5zp4Un1h/m5e2VWGyaQH/FpMRIFk+O/9RqmOhQ927DXCwJew+ktaag1MwXJsQS6eZ9Ql+Wk2bi9cLj9FjtBAV43j/7PZ3VZuf1ohP8zwflNHX08JW5Y7ntklQmJkT65M9Dwt4DlZ5u4WRTJ6uWTDC6FHEB89JNvPRRJftPNTM3NcbocnzKlvI6Hll3gPKaNuZnmHjwmkyyUqKNLstQEvYeqKDUjJ/qvetOuK9sx81VRZWNEvYj5EhtG4++W8aGg7Wkxobx7K1zuSIz0Wv67hdDwt4D5ZeYyU03ERsRbHQp4gLiIoLJiA+nqKKRuy8bb3Q5Xu1MRw+Pf3iYV3dUERrozwNXTeH2S9IIDpCVan0k7D3M0bo2Dte28dV5mUaXIpwwL93Eun3V2O1aNqpzAYvNzqs7qnj8w8O0dlm4JXccP1w2iTiZCJ1Hwt7DFJSaAWTjMw/Re5H2BIdqWpk6Avuf+AqtNRsP1fLIujKO1bWzcEIcP79mKlOS5M/480jYe5iCEjMzx0STMirU6FKEE3L69e0l7IdHeU0rD689wNbD9WTEhfPC7dksmZIgffkBSNh7kNNnOtl7spn/WDHZ6FKEk8bEhJIcHUJhRSO3LUgzuhyP1tDWzf98WM5rHx8nIjiAX1yTydfnp/rkMsqhkLD3IO9LC8fjKKXITTex/WgDWmuZfQ5Bj9XO/26v5I/rD9PRY+O2BWl8//KJclbAIEnYe5D8UjMTEyIYHx9hdCliEHLSTLy95zTHGztIjQ03uhyPoXXv/k+PvltGZUMHeZPj+fnVU5mQEGl0aR5Jwt5DNLR1U1jRyMrFciOVp+l/CLmEvXMOnG7h4bUH2H6sgQkJEbz0zRwWT04wuiyPJmHvIT4sq8GupYXjiSbERxATFkhhRSM3Zo81uhy3VtfazR8+OMQbRSeIDg3koWuzuCV3nEfuMulunAp7pVQikK+1nq2UegHIBNZprR9xfN6pMTF0BaU1jB4VSlaKrOjwNH5+iuw0kxxCfgFdFhsvfVTJUxuP0GWxcccX0rl3yUSiw2Tvp+Hi7Mz+d0CoUuoGwF9rvUAp9aJSaiIw3ZkxrfVhF70Gr9faZWHb4XpuXZAqF/g8VG6aiQ8O1FDb0kVCVIjR5bgNrTXvlZj59XtlnGjsZOnUBB64aioZcl1q2A0Y9kqpJUA7YAbygDcdn3ofWAjMdnJMwn6INh6qo8dmZ4XsXe+xcvr69pWNXDMjxeBq3MP+k808vPYAhZWNTE6M5NVvzZO9/13ogmGvlAoCHgSuB/4BhAOnHJ9uBOYMYuyzHv8u4C6AcePGDfU1eL2CEjNxEcHMGSebaXmqrJQowoL8KaqQsK9p6eK3BYf4666TmMKC+NX107gpe6whh3D7koFm9j8BntZan3G0D9qAvls3IwC/QYydR2u9GlgNkJ2drYf2Erxbl8XGxkO1XDtrNP6yt4rHCvT3Y864GJ8+hLzLYuO5Lcd4ZvNRLDY7dy3KYOWSCW5/dqu3GCjslwJLlFIrgVnAOOAEsAOYCRwCTtLbphloTAzBtsP1dPTYpIXjBXLSTDy+vpzmTovXn4rUn9aad/ZV85v3DnLqTCcrspL46VVTZBnqCLtg2GutL+17Xym1CfgisFUplQJcCcwHtJNjYgjyS81EhgSwICPW6FLERcpNN6E17KxqZMkU3ziLYPfxJh5ee4Bdx8+QmRzF726cyYLx8nfZCE6vs9da5wEopfKAZcBjWuvmwYyJwbHa7HxYVsPSqYmy/4cXmD1uFIH+isKKJq8P++rmTh7LP8Tfd58iLiKYx740gy/NHSOtSAMN+qYqrXUTn6y0GdSYGJzCikbOdFhYnuXdweArQgL9mT462uvX2z+/9Ri/e/8Qdg0rF4/nu3kTiAiW+zeNJj8BN5ZfaiYk0I9LJ8UbXYoYJjnpJl7cVkGXxUZIoPedolRW3cIj68pYPDmeh66dxlhTmNElCQfpDbgpu11TUGrmsknxhAXJ72RvMS/dhMWm2X38jNGluMSTG44QERzA4zfNlqB3MxL2bmrPyTPUtHTLXjheZm6qCaXwylbO4ZpW3i2p5vZLUmWbAzckYe+mCkrNBPgpLvfyC3m+Jjo0kMmJkV4Z9k9uPEJooD/fWphhdCniM0jYuyGtNQUlZhaMj5UZkheal25iZ1UTVpvd6FKGzbG6Nt7Ze5pb56dikkNF3JKEvRs6VNNKZUOH3EjlpXLSTXT02Cg93WJ0KcPmqY1HCQrw485FMqt3VxL2bii/xIxSsCxTWjjeKLffIeTe4HhDB//Yc4qv5qYSHxlsdDnic0jYu6GC0hrmjoshIVK2wvVGCVEhpMaG8XGFd4T9M5uP4O+n+M5lMqt3ZxL2bqaqoZ2y6hZp4Xi53DQTxZWN2O2evf/fqTOdvLXzJDdljyVR9ul3axL2bqag1AzI8YPeLifdRFOHhaN1bUaXclH+vOkoAHfnjTe4EjEQCXs3k19iJjM5Sm5I8XJ9fftCD+7bm5u7+EvRCb48dwyjR4UO/A3CUBL2bqS2pYtdx89IC8cHpMaGkRAZTKEH9+2f3XIUm9Z897IJRpcinCBh70YKDtQASNj7AKUUOekmijw07Otau3nt4+NcP3s042LlX6GeQMLejRSUmMmIC2dighy27Aty00ycbu7iZFOH0aUM2vNbj2Gx2Vm5WGb1nkLC3k2c6ehh+7EGrshKwnEEpPByuX2HkHvY7L6xvYdXdlTxbzNTSI+T06Y8hYS9m1hfVovNrqWF40MmJ0YSFRLgcTdXvbDtGJ0WG/fIrN6jSNi7ifxSM8nRIcwYHW10KWKE+PkpstNMHjWzb+6w8PK/qrhqWjITEyONLkcMgoS9G2jvtrKlvI7lWUn4ybFtPiUnzcTRunbq27qNLsUpL/2rgrZuK/cskVm9p5GwdwOby+vottq5Qo4f9Dl9fftiD2jltHZZeHFbBcsyE5maHGV0OWKQJOzdQEGpmZiwwLM32gjfMX10NCGBfhRWNBldyoD+d3sVLV1W7l0y0ehSxBBI2Bus22pjQ1ktyzITCfCXH4evCQrwY9bYUW5/kba928rzW4+xeHI808fIdSVPJOlisH8dbaC12yqrcHxYbnospaebae2yGF3K53p1RxVNHRZWXS6zek8lYW+wghIz4UH+XDI+zuhShEFy00zYNexy00PIO3tsPLf1GIsmxjFnXIzR5YghkrA3kM2u+eBADYunJBAS6G90OcIgs8eNwt9Pue3WCa8XHqe+rYdV0qv3aBL2BiqubKShvUdaOD4uPDiAaSlRbrnevsti48+bjzIv3XR25ZDwTE6FvVLKpJRappSSXsMwyi81ExTgR97kBKNLEQbLTTex5+QZuq02o0v5lDXFJ6ht7eb70qv3eAOGvVIqBlgL5AIblVLxSqkXlFLblVI/7/d1To2JXlpr3i+tYdGEOCKCA4wuRxgsJ81Ej9XOvpPNRpdyVo/VzjObjjI3NYYF42ONLkdcJGdm9jOA+7TWvwIKgCWAv9Z6AZChlJqolLrBmTFXvQhPVHKqhVNnOlkuLRxBb9iDe22K9rddJznd3MWqJRNkcz4vMGDYa603a613KKUupXd2vxx40/Hp94GFQJ6TY8Ihv7Qafz/F0qly16yAmPAgJiVGuE3YW2x2ntp0hJljorlsUrzR5Yhh4GzPXgE3AU2ABk45PtUIJALhTo6d+7h3KaWKlVLFdXV1Q30NHim/xMy8dBOm8CCjSxFuIifNxK6qJmxucAj523tOc6Kxk1VLJsqs3ks4Ffa610pgH3AJ0HfgZITjMdqcHDv3cVdrrbO11tnx8b4zezhS28rRunY5VFx8Sm66idZuK2XVLYbWYbNrntp4hMzkKC6fKosHvIUzF2jvV0rd5vhwFPDffNKSmQlUAjudHBNAQWnv8YOy8Znoz1369mv3naaivp17L5devTdxZhnIauBNpdSdQAnwD2CLUioFuBKYT29rZ6sTY4LeFs6ssaNIjg4d+IuFz0gZFcqYmFCKKhu5Y2G6ITXY7ZonNxxhcmIkV2TKvzy9iTMXaJu01su01pdqrb+ntW6m9+LrDmCx1rpZa93izJirXoQnOdnUwf5TzXIjlfhMuWkmiiob0dqYvn1+qZnDtW2sXDJBzlbwMkO6g9bxC+BNrbV5sGO+rq+FI/168Vly0k3Ut/VQUd8+4s9tt2v+tP4wGfHhXD09ecSfX7iWbJcwwgpKzUxOjJSDmsVnMvIQ8g/LajhobuWexRPwl1m915GwH0F1rd0UVTbKjVTic2XEhRMXEUThCO9vr7XmiQ1HSI0N44szU0b0ucXIkLAfQR+W1aA1rJAWjvgcSimyU00jfpjJpkN17D/VzPfyxsshOl5KfqojqKDUzFhTKFOTI40uRbixnHQTJxo7qW7uHJHn01rzpw2HGT0qlOtnjxmR5xQjT8J+hLR0WfjoSD0rspJk7bK4oHkj3Lf/6EgDu4+f4bt54wkKkEjwVvKTHSEbD9ZisWlZcikGNDU5iojggBFr5fxp/WGSokK4MVtm9d5Mwn6E5JeYiY8MZvZYOdZNXJi/n2JOasyIzOx3HGugsLKRuy/LIDhATkvzZhL2I6DLYmPToTquyEyUG1WEU+almyivaaOpvcelz/PEhsPERQRzc+44lz6PMJ6E/QjYUl5Hp8UmLRzhtL59coqrmlz2HDurGvnoSAPfuTRDzkD2ARL2IyC/1ExUSADzM+S0H+GcGWOiCfL3c2nf/k/rj2AKD+Jr82VW7wsk7F3MYrPz4YEalmYmEijrl4WTQgL9mTk2mo9d1Lffe+IMm8vruHNROmFBciymL5D0cbGPjzXS0mWVvXDEoOWmmyg91UxHj3XYH/uJDUeIDg3ktgVpw/7Ywj1J2LtYfmk1oYH+XDrRdw5nEcMjJ82E1a7ZffzMsD5u6elmPiyr4VsL0+Wwex8iYe9CdrumoLSGvMnxhAbJBTAxOHNTY/BTDHsr58kNR4gMDuD2S9KG9XGFe5Owd6HdJ5qoa+2WVThiSCJDAslMiaJoGMP+kLmV90rMfOMLaUSHBg7b4wr3J2HvQgWlNQT6KxZPkXM8xdDkpJnYfaKJHqt9WB7vyY1HCA/y544vGHMSljCOhL2LaK3JLzFzyfg4okJkBiWGJjfNRJfFTsnpiz/o7WhdG2v3nebWBWnEhAcNQ3XCk0jYu8j7B2o43tghLRxxUbKH8RDypzYeITjAjzsXyazeF0nYu8CpM538x1v7mDY6ihvmjDa6HOHB4iODyYgPv+i+fVVDO2/vOc3X56USFxE8TNUJTyJhP8wsNjv3vr4bm13z5C1zZHMpcdH6DiG324d+CPnTG4/i76e469KMYaxMeBIJ+2H2hw/K2VnVxKM3TCdNzpkVwyAnzURLl5VDNa1D+v6TTR38dddJbskZS0JUyDBXJzyFhP0w2lxexzObjnJL7lg5x1MMm75DyIe6T86fNx9FKfjOZeOHsyzhYSTsh0ltSxf3/WUPkxIj+MU1WUaXI7zImJhQkqNDhnSR1tzcxZtFJ7kxeywpo0JdUJ3wFHKv9DCw2TXff2MP7T1W3vjqfLlbVgwrpRQ5aSY+rmhAaz2oYy3/vPkodq35rszqfZ7M7IfBUxuPsP1YAw9dO42JiXKYuBh+uekmalq6Od7Y4fT31LZ28Xrhca6fPZqxpjAXVic8gYT9RdpxrIHHPyznulkp3DhXzvAUrpE7hEPIn9tyDIvNzsrFE1xVlvAgA4a9UipaKfWeUup9pdTflVJBSqkXlFLblVI/7/d1To15k4a2br7/xm5SY8N55Prpg/rntRCDMSE+glFhgU5fpG1o6+bVHce5dtZoWRUmAOdm9l8D/qC1vgIwAzcD/lrrBUCGUmqiUuoGZ8Zc9SKMYLdrfrRmL00dFp786mzZKla4lJ+fIjvV5PTM/oVtFXRZbTKrF2cNGPZa66e11h84PowHvg686fj4fWAhkOfkmNd4ftsxNh2q4+dXTyUrJdrocoQPmJduorKhg9rWrgt+3ZmOHl7+VyVXT09mQkLECFUn3J3TPXul1AIgBjgBnHIMNwKJQLiTY+c+5l1KqWKlVHFdXd2QXoARdh1v4rH8Q6zISuLW+alGlyN8RE7fevuKCx9C/uJHlbT32LhniczqxSecCnullAl4ArgDaAP6FuxGOB7D2bFP0Vqv1lpna62z4+M94ySn5g4Lq17bTVJ0CL/58gzp04sRk5USRWig/wX79i1dFl76qILlWYlMSYoaweqEu3PmAm0QsAb4qda6CtjJJy2ZmUDlIMYqTzGyAAAMmklEQVQ8mtaa+/+6j5qWLp64ZbYc/iBGVKC/H3NTYy54ctXLH1XS2mVl1RKvukQmhoEzVxW/BcwBfqaU+hnwEnCrUioFuBKYD2hgqxNjHu3VHVXkl5p54KopzB4XY3Q5wgflpJl4fH05zZ2W8yYbbd1WXviogsunJDBttFxHEp/mzAXaZ7TWMVrrPMfby/RefN0BLNZaN2utW5wZc9WLGAmlp5t5eG0ZiyfHc+dC2TlQGCMnPQatYVfV+X37V3dUcabDwqrLZVYvzjekm6q01k1a6ze11ubBjnmitm4r97y2m5jwQH7/lVn4+UmfXhhj9tgYAv3Vea2cjh4rz205xqWT4pk1dpRB1Ql3JovDB6C15ud/309VQzuvfXs+JjnOTRgoNMif6aOjz7tI+9rHx2lo7+FeWYEjPodslzCANTtP8o89p/n+5ZOYnxFrdDlCkJNuYt/JM3RZbAB0WWys3nKMBRmxzB578b36rq5P1vFbLBYsFstFP6YwnoT9BRyuaeUXb5ewICNW1iwLt5GbZsJi0+w+fgaAN4tPsO/PP2BlXgaXXXYZCQkJ5OXlkZSUxLZt2877/q997WsUFhZ+7uNfd911bN68mcrKSl566SXuuOMOKisrOXr0KFar1WWvS7iWtHE+R2ePjXte2014UAB/vHkW/tKnF24iO9WEUr2HmcTSzKPPvkFYgKbp0MesXbuWu+++mzfeeIPLL7+cGTNmnPf9gYGBrFq1isjI3h1ae3p62LJlCwBHjx4lODiY7u5u1qxZQ1FREd3d3bz11ltYrVZWrlx59vuEZ5Gw/xwPrS3lUE0rL9+RK0e5CbcSHRbI5MRIiiobaaqs5tTuzYT3tLBt2zamTZtGSEjv39e2tjaioj77xqqnnnqK7Ozs88YfeOABpk6dytKlS/n1r3/NyZMn8fPzo7m5mQcffFCC3oNJ2H+Gf+49zeuFJ/hu3ngum+QZd/YK35KbbuKtnSepCI9iwowcok90c99999Hc3ExzczPt7e1ERkYyceJEDh8+zIkTJ5gxYwYzZ84E4N///d8BOHjwIAUFBcycOZM1a9awd+9e0tPT8fPzo729nVdeeQWAdevW0dR04W0ahHuTnv05KuvbeeBv+5mbGsN9yyYZXY4QnyknzURHj42TTZ2Eniqivr6e5cuXU1payoYNG6ivr+fll19m3rx5AAQHBzN37lw2bdr0qbcVK1YQFNS7wiwrK4vHH3/87HN0dnZy5MgRjhw5Qm1trSGvUwwfmdn30221cc/ru/D3U/zpltkE+svvQuGe+g4zGWuvZmLaaGrDArn33ntZv349zzzzDI8++ijTpk3ji1/8ItDbl9+5cyd5eXmfepyDBw/ywx/+EIDMzEw6Oj45Cau6uprnn38eALPZzLJly0bglQlXkbDv59fvHqTkVAurb53LaDmcWbixxKgQ/mPFZI6u3813fvIT7rvvPpYtW8b999/Pww8/TGVlJc888wx79+4FoLCwkN27d9PR0UFmZiZlZWUkJycTEBBAWVnZZz5HXFwc11133dnvF55Npq4OBaVm/t+/KvnmF9K4IivJ6HKEGND38ibw+4d/zqRJk7BarTz33HMsXLiQhoYG1q1bR0JCAs8++yxdXV08+OCDmEwmfvnLX1JUVMSePXv41a9+hc1m48477zzbj9daY7fbsdlsREdHs3DhQhYuXMikSb0tTZvNZuRLFhdBZvbAyaYOfrxmL9NGR/GTK6cYXY4Qg9bY2Mj+/fvJy8tj+fLlrF69mtmzZ/Ptb3+bhoYGVq5cSVRUFCtXrqS5uZmbbrqJ8vJyoqOj+fGPf0xJSQmLFi2iu7ub+vp6rrrqKuLj4/nlL3959jmKioqwWq3cfPPNxr1QMWRKa210DQBkZ2fr4uLiEX9ei83OTc9up7ymjbWrFsp5ncKj9fT0YLVaCQsLOzumtZZzF7yYUmqn1vr8dbTn8PmZ/R8+KGfX8TP86ZbZEvTC4wUFBZ1dXdNHgl6Aj/fsN5fX8cymo9ySO5YvzkwxuhwhhHAZnw372pYu7vvLHiYnRvKLa7KMLkcIIVzKJ8PeZtd8/409dPTYePKrswkN8je6JCGEcCmf7Nk/ueEI24818NiXZzAxUfb6EEJ4P5+b2e841sAf15dz/ezR3Dh3jNHlCCHEiPCpsG9o6+b7b+wmLTach6+bJqsUhBA+w2faOHa75kdr9tLUYeHFb+QQEewzL10IIXxnZv/8tmNsOlTHg1dPJSvl4o9uE0IIT+ITYb/reBOP5R/iymlJfH1+qtHlCCHEiPP6sG/usLDqtd0kRYfw31+aIX16IYRP8urGtdaa+/+6j5qWLtbcvYDo0ECjSxJCCEN49cz+lR1V5JeauX/FFGaPizG6HCGEMIzXhn3JqWYeWVvG4snxfGthutHlCCGEobwy7Nu6rax6fTcx4YH8/iuz8POTPr0Qwrc5FfZKqUSl1FbH+4FKqXeUUh8ppe4YzNhI0Frzs7/vp6qhnT/dPBtTeNDA3ySEEF5uwLBXSsUALwN9m72vAnZqrb8AfFkpFTmIMZdbU3ySt/ec5gdLJzEvI3YknlIIIdyeMzN7G3AT0OL4OA940/H+FiB7EGOfopS6SylVrJQqrqurG3z15zhc08ov/lnCJeNjWbl4wkU/nhBCeIsBw15r3aK1bu43FA6ccrzfCCQOYuzcx16ttc7WWmfHx8cP7RU4dPbYWPnaLiKCA3j8pln4S59eCCHOGsoF2jYg1PF+hOMxnB1zmYfWllJe08YfvjKLhKgQVz6VEEJ4nKEE8E5goeP9mUDlIMZc4u09p3i98ATfyxvPpZMu7l8IQgjhjYZyB+3LwLtKqUVAJvAxve0aZ8aGXWV9Ow/8bT/ZqTHct2ySK55CCCE8ntMze611nuO/VcAy4CNgqdba5uzYcBcP4KcUc1Jj+OMtswnw98rbBoQQ4qIprbXRNQCQnZ2ti4uLjS5DCCE8ilJqp9b6vNWO55KpsBBC+AAJeyGE8AES9kII4QMk7IUQwgdI2AshhA+QsBdCCB8gYS+EED5Awl4IIXyA29xUpZSqA6ou4iHigPphKmc4SV2DI3UNjtQ1ON5YV6rWesBNwdwm7C+WUqrYmbvIRprUNThS1+BIXYPjy3VJG0cIIXyAhL0QQvgAbwr71UYX8DmkrsGRugZH6hocn63La3r2QgghPp83zeyFk5RSJqXUMqVUnNG1CCFGhleEvVIqUSm11eg6+iilopVS7yml3ldK/V0pFWR0TX2UUjHAWiAX2KiUcptzHB0/x91G19FHKRWglDqulNrkeJtudE3nUko9rZT6N6Pr6KOU+m6/P689Sqlnja4Jev/eK6XeVUoVu1FN6UqpdUqprUqp37v6+Tw+7B3h9TIQbnQt/XwN+IPW+grADKwwuJ7+ZgD3aa1/BRQAcwyup7/f8ckh9e5gBvC61jrP8bbf6IL6cxz5maS1fsfoWvporZ/p+/MCtgLPGVxSn1uB/3Msb4xUSrnD8svfAA9rrRcBY5RSea58Mo8Pe8AG3AS0GF1IH63101rrDxwfxgO1RtbTn9Z6s9Z6h1LqUnpn99uNrglAKbUEaKf3l6O7mA9co5QqVEq9oJQaypnNLqGUCqQ3SCuVUtcaXc+5lFKjgUSttbscP9cATFNKjQLGAicMrgdgErDL8X4tEO3KJ/P4sNdat2itm42u47MopRYAMVrrHUbX0p9SStH7C7IJsBhcDo4214PAT4yu5RxF9J6fnAsEAlcZXE9/twEHgMeAXKXUKoPrOddK4Bmji+hnG5AK3AuUAY3GlgPAW8B/OtpwK4D1rnwyjw97d6WUMgFPAHcYXcu5dK+VwD7gi0bXQ2/IP621PmN0IefYp7WudrxfDEw0sphzzAZWa63NwKvAYoPrOUsp5UdvPZsMLqW//wTu1lo/BBwEvmlwPWitHwHeA+4EXtZat7ny+STsXcAxU10D/FRrfTH7/Qw7pdT9SqnbHB+OAtwhYJcCK5VSm4BZSqnnDa6nzytKqZlKKX/gOmCv0QX1cwTIcLyfzcXtKzXcFgEfa/da1x0DTHf8LOcB7lLbHmAc8AdXP5HXrLNXSm1yXBQynFLqu8CjfBIOz2it/2JgSWc5Lmi/CQQDJcBKd/qf0s1+jtOA1wAF/FNr/TODSzpLKRUJvAgk0tti+rLW+pSxVfVSSj0KFGut/2Z0LX2UUrnAS/S2crYD17t6Ju0MpdR/AUe01q+4/Lnc6P9zIYQQLiJtHCGE8AES9kII4QMk7IUQwgdI2AshhA+QsBdCCB8gYS+EED5Awl4IIXzA/wee2j/zzp0N/QAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x,y,label=\"折线图\")\n",
    "# plt.bar(x,y,label=\"柱状图\")\n",
    "plt.text(6,1550,\"极点值\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x,y,label=\"折线图\")\n",
    "# 对整个图表显示数据标签\n",
    "for a,b in zip(x,y):\n",
    "    plt.text(a,b,b,ha='center',va='bottom',fontsize=12)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 数据表\n",
    "数据表就是在图表基础上再添加一个表格，使用plt库中的table函数。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": true
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
